王舟明,李正权,代 涛.动态网络下交替优化正交匹配追踪混合预编码[J].电子测量与仪器学报,2022,36(5):163-172
动态网络下交替优化正交匹配追踪混合预编码
Alternating optimization orthogonal matching pursuit hybridprecoding in dynamic networks
  
DOI:
中文关键词:  混合预编码  固定移相器  动态网络  交替优化  频谱效率
英文关键词:hybrid precoding  fixed phase shifter  dynamic network  alternate optimization  spectrum efficiency
基金项目:未来网络科研基金项目(FNSRFP 2021 YB 11)、111 引智计划基金项目(B12018)资助
作者单位
王舟明 1. 江南大学物联网工程学院 
李正权 1. 江南大学物联网工程学院,2. 江苏省未来网络创新研究院 
代 涛 1. 江南大学物联网工程学院 
AuthorInstitution
Wang Zhouming 1. School of Internet of Things Engineering,Jiangnan Univers 
Li Zhengquan 1. School of Internet of Things Engineering,Jiangnan University,2. Jiangsu Future Networks Innovation Institute 
Dai Tao 1. School of Internet of Things Engineering,Jiangnan Univers 
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中文摘要:
      为解决毫米波大规模多输入多输出(multiple input multiple output, MIMO)系统中混合预编码频谱性能损失严重的问 题,本文提出了一种动态网络下交替优化正交匹配追踪混合预编码算法。 首先,通过恒模约束条件下的模拟预编码矩阵确定固 定相位移相器与天线之间较好的初始连接状态,以提高迭代收敛速率;然后,根据连接状态构造最佳候选模拟预编码矩阵,从而 求解全局最优的索引向量;最后,由最优索引向量组成的数字预编码矩阵反馈到动态网络,可动态实现移相器与天线阵列连接 状态的交替优化更新。 同时,所提出的算法只需要少量固定相位的移相器,在频谱性能和复杂度之间达到良好平衡。 仿真结果 表明,与其他现有算法相比,该算法具有更高频谱效率、更高迭代收敛速率和更低复杂度,特别是当射频链路数大于数据流数 时,频谱效率的提升更加显著。
英文摘要:
      To solve the problem of serious spectrum performance loss of hybrid precoding in millimeter wave multiple input multiple output (MIMO) systems, a hybrid precoding algorithm based on alternating optimization orthogonal matching pursuit is proposed in this paper. Firstly, an analog precoding matrix under constant mode constraint is used to determine the good initial connection state between the stationary phase displacement phaser and the antenna to improve the iterative convergence rate. Then, the optimal candidate simulation precoding matrix is constructed according to the connection state to solve the global optimal index vector. Finally, the digital precoding matrix composed of the optimal index vector is fed back to the dynamic network, which can dynamically optimize and update the connection state of the phase shifter and the antenna array alternately. At the same time, the proposed algorithm only needs a small number of fixed phase shifters to achieve a good balance between spectrum performance and complexity. Simulation results show that compared with other existing algorithms, the proposed algorithm has higher spectral efficiency, higher iterative convergence rate and lower complexity, especially when the number of RF links is greater than the number of data streams, the improvement of spectral efficiency is more significant.
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